447 search results - page 49 / 90 » Choosing Multiple Parameters for Support Vector Machines |
CVPR
2001
IEEE
14 years 10 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
DEXA
2000
Springer
14 years 6 days ago
2000
Springer
Abstract. Bitmap indices are popular multi-dimensional data structures for accessing read-mostly data such as data warehouse (DW) applications, decision support systems (DSS) and o...
ESANN
2007
13 years 9 months ago
2007
One-class support vector machines (1-SVMs) estimate the level set of the underlying density observed data. Aside the kernel selection issue, one difficulty concerns the choice of t...
COLT
2004
Springer
13 years 11 months ago
2004
Springer
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...